PH热榜 | 2026-01-07

一句话介绍：LEGO SMART Play通过内置传感器的智能积木，在无屏幕的实体搭建场景中，让孩子的静态乐高作品能根据动作发出声音和反应，解决了数字时代下实体玩具互动性不足、孩子过度依赖屏幕的痛点。

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Kids Games Toys

智能玩具 STEAM教育实体互动无屏幕传感器技术乐高兼容创意激发反馈循环怀旧创新儿童科技

用户评论摘要：用户普遍赞赏其“隐形技术”和无屏幕互动理念，认为能深化实体连接。主要疑问集中在电池续航、充电方式、传感器技术原理（如如何区分动作）、与旧套件兼容性，以及通信协议是否开放（实为封闭的BrickNet协议）等方面。

AI 锐评

LEGO SMART Play并非一次简单的技术叠加，而是一场针对“实体玩具存在意义”的精准防御与价值重塑。在儿童注意力被屏幕吞噬的时代，乐高祭出的“SMART Brick”本质是一枚“去屏幕化”的楔子：它用最轻量的传感器和音频反馈，在物理世界构建了一个即时、低门槛的“交互循环”。其高明之处在于“隐形”——技术服务于想象，而非主宰游戏叙事，这恰好击中了当代家长对“科技侵蚀童年”的深层焦虑。

然而，光鲜概念下暗藏博弈。产品强调“兼容现有套装”，但评论中关于封闭协议（BrickNet）的揭露，暴露了乐高在“开放”与“生态控制”间的典型摇摆。这虽保障了体验与安全，却也扼杀了如极客家长所期待的、与Mindstorms等开源平台联动的硬核创造力。此外，“无屏幕”的卖点巧妙地回避了其对智能手机/平板作为潜在“音频中枢”的依赖质疑，电池与耐久性等现实问题在初期狂热后必将浮出水面。

乐高的真正赌注，是将“智能”定义为增强物理感知的“触发器”，而非运算核心。它不生产内容，而是催化孩子脑中已有的故事。若成功，它将巩固乐高作为“终极实体玩具”的护城河；若失败，则可能沦为一道介于传统积木和昂贵电子玩具之间的尴尬中间态。其成败关键，在于这些智能积木能否像经典积木一样，经得起无数次拆卸、重组与想象力的暴力测试，从而证明“智能”是赋权，而非枷锁。

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LEGO SMART Play

Powered by the new SMART Brick, this platform brings creations to life using sensors to react to movement and play. It is screen-free and compatible with existing sets.

Hi everyone!

My wife has a background in education, so I've always been fascinated by how "play" is evolving for the next generation in this AI era. LEGO calls this "one of the most significant evolutions in the LEGO System-in-Play since the introduction of the LEGO Minifigure in 1978."

The most fascinating part is how it turns intangible imagination into something audible and tangible. Instead of staring at an iPad to get the "magic," the technology is invisible and embedded right inside the brick.

It encourages kids to look at their creation, not through a phone. The SMART Brick creates a feedback loop: you move it, it reacts. It really deepens the physical connection rather than replacing it.

Imagine hearing a TIE Fighter actually scream when you swoosh it through the air? That is just cool :)

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@zaczuo “intangible imagination into something audible and tangible” - that is an eloquent characterization of this innovation. It will be fascinating to see how young minds use this innovation to complement the sound effects they already do themselves as they swish a little figure around or crash a Lego car

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I think that this company will be alive forever. They are loved by many age categories and this makes them immortal!

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@busmark_w_nika i also use it, all the way from kenya

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@busmark_w_nika I had one wish when I was a kid. To always play with lego and always be listening to Michael Jackon. And im still playing with lego. Just different bricks. As for MJ. Whanna be startn smth...🕺

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Embedding the tech right inside the brick makes it so seamless. 'Invisible technology' is the best kind. ✨ However, with audio and sensors running, what is the battery life expectancy for a typical play session, and is the battery rechargeable via USB-C or inductive charging?

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LEGO + Jurassic Park hits the nostalgia button. The TT Games humor usually lands. Curious how the new SMART Brick stuff fits here—screen-free sensors with a WB game? If it links physical sets with game scenes, I’m in. Also, humming the JP theme now.

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I hope that soon we’ll be able to see the new LEGO in action - on display in LEGO stores, wow! 😍

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This sounds like the future of physical play! The idea of a 'feedback loop' based on movement is brilliant. I'm curious about the sensor tech inside the Smart Brick—is it using a combination of accelerometers and gyroscopes to distinguish between a 'swoosh' (flying) and a 'stomp' (T-Rex walking)?

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My niece loves Legos, this is a such a great update! Can't wait to get here one of these so she can start building more interactive scenarios

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I played with LEGOs many years ago, Then I graduated to the Expert Builder LEGOs with gears and even an electic motor. I would have loved to have these capabilities with LEGOs!

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OMG LEGO Jurassic World looks incredible! Love the idea of reliving all the movies in LEGO form. How does the SMART Brick interact with older, non-electronic LEGO sets? So cool!

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Love this, very cool. Lego Mindstorms was my first introduction to robotics, and of course, this is a little different.

But it would be cool to see these new bricks integrate with Mindstorms boards for customising the behaviour.

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I am 46 years old and now I know what I want for my 47th birthday :-).
Looks like I will go back to my children years.

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I love the video. lol. I feel like I really need to see this in action to full comprehend what it can do.

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What protocol do you use there? Is it BLE, so we can easily attach it to external systems? Or is it some proprietary protocol?

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@anton_tishchenko It uses a proprietary protocol called BrickNet.

Technically it is built on Bluetooth hardware, but it is encrypted and runs as a closed mesh network. So it's not a standard open BLE connection that we can easily hook into yet.

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This launch for Lego is perfect. It’s new and exciting it’s nostalgia and innovation. Super excited for it

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That feedback loop you mentioned is such a good point. Kids reacting to the brick itself instead of a phone feels like the right direction.

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一句话介绍：一款提供对话记忆与状态管理的API服务，使开发者无需构建后端基础设施，即可快速为产品添加具备上下文记忆的AI聊天功能，解决了中小团队和低代码开发者在集成AI聊天时面临的基础设施复杂、迭代缓慢的核心痛点。

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API Artificial Intelligence Development

AI聊天API 对话记忆管理无后端开发低代码工具状态管理开发者工具快速迭代聊天机器人基础设施抽象产品开发效率

用户评论摘要：用户普遍认可其解决“模型外复杂性”的价值，特别是对低代码/初创团队的吸引力。主要问题集中于长对话处理、版本管理、数据分析、成本预测、客户端会话持久化及数据导出/锁定风险。开发者回应清晰，强调了版本隔离、数据可导出性和生产环境可见性。

AI 锐评

Conversation API 的实质，是将AI聊天功能中“肮脏但必要”的后台工作——状态持久化、上下文管理、版本控制——商品化。它敏锐地切中了一个市场缝隙：众多渴望AI能力但受制于工程资源的中小团队。其“只需一个conversation_id”的承诺极具诱惑力，本质是售卖“开发速度”与“工程确定性”。

然而，其商业模式暗含双重依赖：一是对上游大模型API的依赖，自身成为“套娃式”的中间件；二是可能引发用户对自身数据持久化服务的依赖，尽管承诺数据可导出，但深度集成后的迁移成本本身就是一种软锁定。产品的长期价值不在于存储对话历史，而在于其承诺的“端到端AI管理”：版本控制、生产监控、RAG集成。若这些工具链足够强大，能真正将产品经理从对工程团队的依赖中解放，实现AI功能的敏捷迭代与数据驱动优化，它便从简单的“存储API”升级为“AI功能运维平台”，这才是其高壁垒所在。

当前风险在于，其解决的问题虽痛，但技术壁垒并非高不可攀，易受大型云服务商或开源方案挤压。它的成功将取决于能否在“易用性-灵活性-成本”三角中找到最佳平衡，并快速构建起围绕AI工作流管理的生态护城河，而非仅仅作为一个便利的对话缓存层。

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Conversation API

Building AI chat features often means too much complexity — SDKs, databases, and infrastructure — just to support conversations and memory. Conversations API removes that overhead. Build stateful AI chat without managing backend systems. All chat data is stored for you — you only keep the conversation_id. What it helps with – AI chat memory & state – Faster prompt iteration – No backend setup – Ideal for low-code builders Built after helping builders stuck on AI chat infra instead of product.

Hey Product Hunt 👋 I built Conversations API after repeatedly helping people integrate AI chat into their products. The common problem wasn’t models — it was everything around them: conversation memory, storage, infra, and slow iteration cycles. This is a small, focused API that removes those blockers. No SDKs. No databases. No infra to manage. Happy to answer questions, explain design decisions, or hear what you’re building. https://amarsia.com https://www.amarsia.com/document...

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@anujkapasia This is super useful for low-code builders and startup teams. Not having to deal with all the chat infra and memory yourself is a big win. Congrats on the launch.

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@anujkapasia This is a really clean abstraction.

Most people underestimate how much complexity sits around AI chat — memory, state, infra, iteration speed.

Love how you’ve narrowed the problem and shipped something opinionated instead of another “do-everything” layer.

Curious to see how teams adopt this in production 👏

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This looks clean! How do you handle long-running conversations as context grows? Do you summarize, chunk, or apply any memory pruning over time?

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Congrats on the launch! @anujkapasia 🎉As a product manager who's been through the pain of integrating chat features into our product, this resonates deeply. The "everything around the model" problem is so real – we spent 3 weeks just setting up conversation state management, storage, and context handling before we could even start iterating on the actual user experience. What I love about Conversation API:

Just keep the conversation_id – this is brilliant. No schema migrations, no database setup, no infrastructure headaches.
Faster iteration – being able to test different prompts without worrying about backend changes is exactly what product teams need during the exploration phase.

A few questions from a PM perspective:

Versioning: If I update my prompt logic, can I A/B test different versions while keeping the same conversation history?
Analytics: What visibility do I get into conversation quality? (e.g., average turns, drop-off points, user satisfaction signals)
Cost predictability: How does pricing scale with conversation length and complexity? This is critical for product planning.

The "no glue code" promise is huge. We've wasted so much time on integration boilerplate that could've been spent on actual product value. Excited to try this out! 🚀

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@amberjolie Great questions!

Once a conversation starts, it’s tied to a specific, committed version of your prompt + config. This keeps live conversations stable even if you later change or improve the workflow. New conversations automatically use the latest version.
You get clear visibility into how the AI behaves in production. This was one of the core problems we started Amarsia to solve—AI features often look fine in demos but break in real usage, and PMs don’t know what changed or why.
Plans have monthly token limits, and pricing is primarily token-based beyond that.

Totally agree with you—the glue code and constant engineering dependency slow teams down and make it hard for product teams to iterate fast or clearly see what’s driving real user value.

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cool!  I have already saw lots of nodoce or low code product, which they dont really let me just use with out understand code logic, THANKs you guys build this for low code creating

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@yoang_loo Thanks for the kind words Yoang.
I truly agree, I've seen so many people getting stuck on AI features and eventually needing either serious engineering help, specially for production releases.

We're trying to provide a solid foundation so not everyone have to code the same thing again and again.

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Congrats on your launch guys!

For teams embedding conversational AI into web (e.g., React/Next.js) or mobile (React Native/Flutter) apps like us, how does your API handle client-side session management and persistence across page reloads or app restarts?

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@cathcorm Hey Catherine — as long as you keep the conversation_id, the conversation will continue seamlessly.

On the client side, you just need to store that conversation_id for each user so they can pick up the chat anytime where they left off.

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Wow, Amarsia looks amazing! The auto-stored conversation data sounds like a lifesaver for iterating. How does versioning handle changes that impact older conversation histories? Super curious!

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@jaydev13 Great question!

Conversations API has been designed keeping this in mind, any new version release for AI feature would not impact older conversations.

Once a conversation has initiates, its locked in to a version of workflow commit history.

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Good idea to include memory out of the box, that's a big time savings for a new chat setup!

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Curious This looks promising. Does the Conversation API also handle long-term memory limits, or is it mainly for session-based conversations?

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@alirazaengineer Once a conversation is initiated, all chats for that conversation_id is stored with us indefinitely. User can continue the same conversation anytime. However context from one conversation never flows into any other conversation!

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Been cobbling a chat demo; keeping memory/state is the messy part. If Amarsia handles that + versioning, huge relief. How easy is data export or self-hosted later? I try to avoid lock-in. Either way, no-backend setup sounds handy for quick tests.

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@alexcloudstar Hi Alex — data export is straightforward. You can request it from our team, and we’ll provide your full account data, including chat history, commit history, and AI logs.

We don’t offer a self-hosted version yet, but if there’s strong demand from customers, it’s something we’d be open to supporting.

Feel free to try out the product, or best - book a guided demo!

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What’s the difference to response api from openAI?

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@jns8cndv we manage and store your chat history. No database setup required. Additionally we provide end to end AI management features: - No code writing - Rapid versioning and new releases without changing code. - Fully transparent logs for your AI features. Monitor how it’s doing on production. - RAG, web search and custom tools also without writing infrastructure overhead.

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Looks well worth checking out.

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@joeyzhangThanks! Definitely worth checking out if you’re a PM or founder. Being able to move fast without lock-in is a real superpower when building something new.

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Looking forward to checking this out! In my previous startup we dealt with conversation memory a lot and I still believe AI can help humans communicate better.

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Congrats on the launch! I really like how opinionated and minimal this is, just keeping a conversation_id instead of juggling memory, storage, and infra feels very builder-friendly. What kinds of products you’re seeing benefit most from this so far?

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一句话介绍：Dessix是一款逻辑优先的可视化AI工作空间，通过将上下文构建过程可视化并让用户通过点击直接引导AI注意力，解决了研究人员、分析师等深度创作者在与AI协作时面临的“黑盒”信任缺失和提示词调试低效的核心痛点。

Productivity Artificial Intelligence

AI工作空间可视化协作逻辑优先上下文管理 AI透明度深度创作思维工具研究辅助提示工程认知增强

用户评论摘要：用户普遍认可其解决AI“黑盒”和信任问题的核心价值，赞赏可视化上下文与“聚焦即提示”的设计。主要问题与建议集中在：1. 工作流集成（如导出至Notion、API支持）；2. 团队协作功能的具体形态；3. 上下文防漂移与可复现性的技术细节；4. 内置对抗认知偏见的模板化工作流。

AI 锐评

Dessix的野心不在于成为另一个“更好的聊天界面”，而在于试图重新定义人机协作的交互范式。它将AI从“对话对象”降维为“可观测、可编程的思维组件”，其真正价值体现在三个层面：

首先，它直指当前AIGC应用最脆弱的命门——信任与可控性。通过“所见即AI所见”的可视化上下文和严格的上下文层级管理，它将模糊的提示词博弈转变为精确的“空间编程”，让输出变得可追溯、可调试。这并非简单的UI创新，而是对AI协作确定性的工程化追求。

其次，产品通过“动作”与“场景”封装工作流，其深层逻辑是**将方法论软件化**。这超越了内容生产工具范畴，旨在成为认知过程的操作系统。用户分享的不再仅是文档，而是封装了专家思维模式的“认知模组”。这为团队的知识沉淀与协同提供了全新路径，尽管其实际效能有待验证。

然而，其挑战同样明显。第一，**“逻辑优先”与“视觉构建”本身存在张力**。复杂逻辑的视觉编排可能带来新的认知负荷，产品在追求控制感的同时，必须警惕沦为“给专家的复杂玩具”。第二，其宣称的“对抗确认偏误”高度依赖预设的“认知护栏”质量，若模板库不足，核心优势将大打折扣。第三，当前模式更适配研究、写作等线性强、重逻辑的场景，其在更发散、感性的创意场景中的普适性存疑。

总体而言，Dessix是一次勇敢且必要的范式实验。它没有在提示词自动优化上内卷，而是选择重构人机交互的底层协议。其成败关键在于能否在“控制的精确性”与“使用的流畅性”之间找到最佳平衡，并建立起高质量的“认知动作”生态。它代表了一个重要方向：未来的AI工具之争，或许是工作流与思维模型封装能力之争。

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Dessix

Dessix is a logic-first visual space for deep creators. Instead of wrestling with prompts, you build context visually, making AI an extension of your own thinking. Achieve true alignment—you know what the AI knows, and it grasps your goals. Ditch the black box, accelerate your creation, and finally, take control.

Hi Product Hunt — Hsiang (Alex Xiang) here, founder of Dessix 👋

The biggest challenge in collaborating with AI isn't its capability, but the trust gap between us.

AI often feels like a 'black box.' We can't see its context, so we can't be sure if its answers are reliable. To compensate for this uncertainty, we're stuck in a cycle of trial and error, constantly copying and pasting to manually calibrate every single output.

Dessix was created to solve this fundamental trust issue. We've built a visual thinking space where what you see is what the AI sees.

We make this trust tangible through three core features:

1. Visualized Context: Arrange your notes and resources side-by-side in a multi-column space. The context you build for the AI is crystal clear, eliminating the guesswork.

2. Focus as the Prompt: Your every click and focus directly guides the AI's attention, giving you absolute control.

3. Stay in the Driver's Seat & Reflect: We've designed "Actions" and "Scenes" to help you deeply integrate with AI and amplify your abilities. At the same time, they enable you to bring in a critical perspective at any moment, helping you avoid cognitive traps like confirmation bias and information bubbles.

If you're a professional who demands high precision in context and logical rigor—like a researcher, analyst, strategist, or writer—then Dessix is designed specifically for you.

Special PH Offer: We're offering the Product Hunt community a lifetime 10% discount on all paid plans.(Code: PH)

Want to give it a try? Place our official homepage and this intro side-by-side, then ask the AI: "How does Dessix help users stay in the driver's seat when using AI?"

I'll be here all day and look forward to hearing your feedback

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I rarely see AI tools explicitly designed to combat 'confirmation bias'. Usually, they just act as yes-men. 🧐 Regarding the 'Actions' and 'Scenes' features: are there built-in templates or workflows specifically designed to challenge my own logic (e.g., a 'Devil's Advocate' mode), or do I need to configure these prompts myself?

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@yoang_loo This is a brilliant question that touches the core of why we built Dessix—to prevent AI from becoming an echo chamber.

You don't need to configure everything from scratch. We provide "cognitive guardrails" in two ways:

Dessix Store: You can find ready-to-use 'Actions' and 'Scenes' specifically designed to challenge your logic, such as Socratic Questioning workflows and deep inquiry frameworks (similar to the "5 Whys" or rigorous critical thinking models).
Built-in Tools: For objective reality, the system has a native Fact Check Assistant specifically designed to verify claims and validate facts instantly.

We want Dessix to be a partner that helps you think deeper, not just faster.

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Love the logic-first approach of Dessix! Visual AI context building is exactly what deep creators need. 10/10 would recommend!!!

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So glad to see Dessix LANDED on ProductHunt, a product that truly understands user needs.

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Really excited for you guys! Congratsss 👌

Do you expose any export/import formats (e.g., JSON with embeddings or custom schema) for developers integrating Dessix workflows into web apps (via iframe/embed) or mobile wrappers (PWA/Capacitor)?

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If I'm to use an analogy, it's like Pinterest or a Miro board for generating research/copy with AI, right? I'm curious to see how interactive it is, especially when following a thinking process. Overall, I got a flashback from some sci-fi film: what if it could also give voice suggestions?

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Wow, Dessix looks amazing! The visual context building is a total game changer. Im curious, how does Dessix handle iterative feedback loops when working with complex datasets?

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I really like the framing around trust and visibility. How do you think about preventing context drift over time as users keep adding and rearranging material? Does the system help users notice when the AI’s “mental model” starts diverging from theirs?

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Feels like a mind map where the AI actually sees what I see. I lose context hopping between tabs/docs. Focus-as-prompt makes sense. Scenes to fight tunnel vision… smart. I’ll throw my next research brief at it and see if it keeps me sane.

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Congrats on launching Dessix on Product Hunt, @xiangst0816 ! 🎉 As an AI product lead, I'm thrilled to see a tool tackling the AI trust gap head-on. The visual context feature is a game-changer—it makes AI collaboration so transparent and intuitive. Love how "Focus as the Prompt" puts users in control, and the "Actions & Scenes" design truly amplifies creative workflows. For deep creators like researchers and writers, this is a must-try! 💡

One suggestion: To enhance workflow integration, consider adding export options (e.g., to Markdown or PDF) or API hooks for tools like Notion. This could help users seamlessly transition from ideation to production.

Curious: What's the roadmap for team collaboration features? I'd love to see how Dessix scales for group projects. Keep up the great work, and looking forward to your thoughts!

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Thanks,@rocsheh !

Thrilled that you resonate with the "Visual Context" and our mission to bridge the AI trust gap.

To your point on workflow integration: We currently support exporting individual notes (Blocks), but more uniquely, we allow exporting and sharing the entire Shared Context. This lets you capture the full fidelity of the human-AI interaction, not just the final text.

Direct hooks for tools like Notion are definitely in our plans. In fact, this is exactly where Actions will shine—imagine defining an Action specifically to "Format and Push to Notion" via code or instructions. You design the logic, and the system executes it.

Regarding the roadmap for teams: We have a slightly different take on collaboration. We believe the future isn't just about shared editing, but about shared cognition. In Dessix, team collaboration will focus on sharing Actions (workflows) and Scenes (encapsulated SOPs).

It means sharing the "methodology" and "expert perspective" so the whole team can align on how to think and solve problems, rather than just syncing documents.

Stay tuned! 🚀

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Being headache dealing with tons of prompts till now... Dessix is great by putting logic at first place.... also curious - how do you make sure alignments are achieved?

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Hi @cruise_chen !

Glad you noticed the "logic-first" approach! Dealing with endless prompts is indeed exhausting, and that's exactly why we built Dessix.

To your question on Alignment: We don't treat alignment as magic; we treat it as an engineering problem. We achieve it through Constraint and Transparency:

Visual Alignment ("What you see is what AI sees"): We map your visual focus directly to the AI's context window. If you focus on a specific Block (and its parallel references), that becomes the hard boundary for the AI's attention. You don't need to describe the context; you just need to "place" it in front of you.
Procedural Alignment (Actions & Scenes): This is where the "logic" you mentioned comes in. By encapsulating your intent into Actions (workflows) and Scenes (roles/rules), you are effectively "programming" the AI's behavior. This forces the model to align with your specific methodology rather than relying on its general probability distribution.

In short: We achieve alignment by giving YOU total control over the input structure, rather than hoping the model guesses right.

Thanks for the support

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Really clean UI. As I'm building GetZumo to help users reclaim their focus, I appreciate tools that make organizing thoughts easier. Does it support offline mode for deep work sessions?

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@maria_moreno_lopez Yes. Dessix is Local-First. You can write and organize completely offline—perfect for deep work. Internet is only needed when you explicitly call the AI.

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A friend recommended this to me, and now it's on producthunt! love to see it.

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Dessix is addressing the “black-box trust” problem in a very practical way: making context visible and controllable so teams can reason about why an output happened (and keep it consistent when collaborating).

does the model’s final context come strictly from the current focus / selected columns, or do you also do an automatic “relevance expansion” behind the scenes? That one choice really impacts reproducibility and team alignment.

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@lowesyang Dessix rigorously controls context priority to ensure precise AI alignment with user intent, fostering transparent and controllable collaboration:

1. Workspace Style Config: Defines the overall working environment and user identity.

2. Topic: Sets the focused scope for the current conversation or view.

3. Fixed Blocks: Core materials actively "pinned" by the user, serving as a structured framework and authoritative knowledge source.

4. Focused Block: The content block currently being viewed or edited by the user, representing the AI's primary area of attention.

5. Linked Blocks: Content blocks explicitly linked to the focused block, providing direct contextual connections.

6. Visible Blocks: Auxiliary content visible within the workspace, offering ambient environmental context.

7. Related Blocks: Algorithmically recommended supplementary information.

This hierarchical management ensures "what you see is what AI sees," meaning the AI's contextual understanding is always precisely synchronized with user intent, leading to reproducible and explainable collaboration.

For more details, please refer to [Organizing Context](https://docs.dessix.io/guide/feature/context).

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Context transparency is the missing layer in most AI tools. Dessix feels like a much more honest way to collaborate with AI. Congrats on the launch:)

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@abod_rehman Thanks a lot! "Honest" is the best compliment we could receive.

We truly believe that trust comes from transparency—knowing exactly what the AI is looking at changes the whole dynamic of collaboration.

Glad you resonate with this!

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Dessix Yes. This is a good tools for creator

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Really loving this kind of visual canvas. Great fit me. I like thinking visually.
Easy to organize and rearrange ideas as you go.

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Hi Hsiang, congrats! Yes, I;m definitely one of those tired of copying and pasting the texts back and fourth.

One quick question: since Gemini is now deeply embedded in Chrome and tools like Atlas are emerging, what would you say is Dessix's biggest edge in terms of workflow and context handling?

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@jojo_li

Regarding Gemini and Atlas, Dessix's core competitive advantage in "workflow and context handling" lies in these key areas:

Visual Context Alignment: Dessix's "what you see is what AI sees" visual workspace ensures the AI natively understands your layout and connections, eliminating the "black box" effect and aligning human-AI perspectives.
Dynamic Context, Instant Impact: Any change you make to your visual workspace is immediately reflected for the AI, maintaining a fluid thought process without re-uploading or repetitive explanations.
Knowledge Base as Living Context: Your entire Dessix knowledge base serves as the AI's background context. It automatically leverages your accumulated insights for deeper, more relevant collaboration.
Multi-Step AI Agents: With the "Dessix Magician," you can easily build complex, multi-step AI agents using simple descriptions, transforming AI into a powerful planning and execution partner.

Dessix empowers you to be a "thought designer," accelerating creation and expanding cognition through seamless human-AI collaboration.

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Several of our team mates are using Dessix. It's UX is unique and the "TAB-fill" function is amazing. Great app!

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@shawnxiao76 Thrilled that you enjoy the unique UX and the flow of "TAB-fill". Thanks for the support

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Honestly, the linear chat interface has been the biggest bottleneck for complex workflows. Trying to maintain state across a long conversation is a headache. If this actually lets me branch out ideas without losing the root context (or having to copy-paste into a new thread), it solves a real problem. Does the "logic-first" part mean I can define strict constraints for specific nodes in the workflow?

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@tony_hsieh2
Thank you for your insightful questions! Your query regarding Dessix's "logic-first" philosophy and whether it allows for defining strict constraints for specific nodes in a workflow goes right to the heart of our product design.

The answer is: Absolutely!

Dessix achieves this through the following:

Visualized Context: By arranging your notes and resources side-by-side in a multi-column space, you are intuitively building a clear and structured context for the AI. This ensures the AI accurately understands the information at each node, moving beyond the information loss common in linear chat interfaces, and establishing a precise logical foundation for AI's thinking.
"Actions" and "Scenes": These are the keys to implementing strict constraints. "Actions" allow you to define specific tasks and execution logic for the AI (e.g., limiting summary formats). "Scenes" provide a broader context and role-setting for the AI, ensuring it thinks and responds within predefined boundaries, offering fine-grained control and guidance for each node in your workflow.

Through these designs, Dessix transforms AI from a "black box" into a transparent, controllable thinking partner. You can not only branch out ideas without losing root context but also define clear logical boundaries and execution rules for each branch, achieving truly controllable, efficient, and rigorous human-AI collaboration.

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@tony_hsieh2 This new AI platform NooSpan does exactly what you want: branching with inheritance of root context.

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Dessix makes AI context visible instead of hidden.

Logic-first, no black box—this is how deep creation should work！

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一句话介绍：一款为独立交易者和投资者打造的“华尔街终端”，通过整合实时突破信号、聪明钱追踪、内幕及国会交易数据与AI分析，以极低成本提供机构级数据工具，解决个人投资者信息不对称和工具昂贵的核心痛点。

Fintech Investing Artificial Intelligence

金融科技投资分析工具零售交易终端实时市场数据聪明钱追踪 AI投资助手股票筛选器内幕交易监控普惠金融彭博终端替代

用户评论摘要：用户普遍肯定产品概念与界面。主要问题与建议集中在：1. 询问是否支持AI全自动交易执行与止损设置；2. 关注数据来源与更新时效（如内幕交易）；3. 询问与现有交易平台的集成可能性。开发者回复称自动交易为未来可能功能，数据为实时更新。

AI 锐评

Market Terminal 的叙事巧妙地击中了散户的“信息平权”焦虑，但其真正的价值不在于复刻一个廉价的彭博终端，而在于对“边缘信息”的聚合与再解读。产品将“聪明钱追踪”、“国会交易”等非价格数据作为卖点，实质是试图将散落在各处的、本不对等的合规披露信息，加工成可交易的“信号”。这比单纯提供更快的报价或更复杂的图表更有颠覆潜力。

然而，其面临的挑战同样尖锐。首先，数据的“价值衰减”极快，当一种“聪明钱”模式被大众普遍获知并跟随时，其阿尔法效应便会迅速消失。其次，产品介绍中“AI holding you by the hand”的表述模糊，若仅为模式识别与推送，则同质化严重；若涉及预测或建议，则面临巨大的合规风险。评论中用户对“全AI控制”的期待，恰恰暴露了产品在“提供信息”与“执行决策”之间的尴尬定位。

从商业模式看，其“极低成本”策略是一把双刃剑。它能够快速获取用户，但金融数据服务的合规、技术与获取成本刚性很强。能否在规模化后维持数据质量与深度，并找到除订阅费外更稳固的变现路径，是决定其能否从“一个好看的工具”成长为“一个可信的生态”的关键。本质上，它是在测试一个命题：当机构的信息优势被技术工具部分抹平后，投资的胜负手是否会更快地转向心理、资金管理与执行纪律——而这些，是任何终端都无法提供的。

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Market Terminal

Wall Street pays up to $30K/year for their edge. That's how they stay ahead — better data, faster intel, institutional-grade tools. We're here to change that. We built a Wall Street terminal for independent traders and investors. Real-time breakouts, smart money tracking, insider & Congress trades, AI-powered analysis — all in one place, at a fraction of the cost.

Hey Product Hunt 👋! Wall Street pays up to $30,000/year for terminals. They have access to better data & that's why they win. We're here to change that... Market Terminal brings the power of a Wall Street Terminal to independent traders and investors — at a fraction of the cost. Here's what you get: ✅ Real-Time Breakouts, Setups... — See Breakouts, Breakdowns... In Real-Time ✅ Better Data — Everything About A Stock In One Place ✅ Institutions, Insiders & Congress Intel — Track What The Smart Money Is Buying ✅ Powerful Ratings — Find Industry Leaders Without The Work ✅ Real-Time Screener — Filter Stocks In Real-Time ✅ AI — Invest With AI Holding You By The Hand Bloomberg built their terminal for the 1%. We built it for everyone else. We'd love to hear what you think. Happy investing!

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Does this allow full AI control to create investments, stop loss etc? Looks very cool for sure!

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@gitvader1 Hi Chris!
Right now you can find ideas (e.g. show me stocks breaking out) and research them (e.g. are senators buying AAPL).

Adding trade execution and things like stop losses is something we can definitely look into — great idea.
Thank you!

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That is a great product to let people familiarize with trading ! Nice and intuitive, congrats!

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Wow, Market Terminal looks amazing! The smart money tracking feature is super intriguing. How quickly are insider trades typically updated after theyre reported? Im eager to try this out!

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@jaydev13 Hi Jay! Insiders trades are updated as soon as they are reported.

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Nice work, very comprehensive! Where do you guys source your data if you don't mind saying.

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What trading platform it can be connected? In order to have both data and assets management in one place?

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Looks great! Congrats

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I like the idea of focus as the prompt. That feels much more natural than constantly rewriting instructions. I would definitely try this!

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Wow this is impressive! Have you guys raised or have customers yet?

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一句话介绍：Graysky 2.0是一款速度更快的Bluesky第三方客户端，通过支持Liquid Glass等新功能，为追求高效、定制化社交体验的用户提供了官方应用之外的流畅替代选择。

Messaging Social Media GitHub Social Networking

社交媒体客户端 Bluesky第三方应用效率工具社交网络替代客户端功能增强用户体验优化信息流管理

用户评论摘要：用户提及新版本支持Liquid Glass，并称赞内联翻译是改变游戏规则的功能。同时，有用户尖锐指出其Google Play商店评分极低（2.7分）且开发者缺乏回应，这严重影响了新用户的尝试意愿。存在关于翻译内容与自定义信息流算法相关的具体问题。

AI 锐评

Graysky 2.0的亮相，揭示了第三方客户端在去中心化社交生态中的双刃剑效应。其核心卖点——“更快”与“Liquid Glass支持”——直指官方客户端可能存在的性能与功能迭代迟缓的痛点，试图以技术优化抢夺早期尝鲜用户。内联翻译功能的受捧，精准命中了Bluesky作为全球性开放网络的跨语言交流刚需，这显示出开发者在捕捉核心使用场景上的敏锐度。

然而，产品面临的危机远大于机遇。Play Store上2.7分的惨淡评分与开发者“已读不回”的冷漠姿态，构成了其致命伤。这不仅仅是一个简单的客服缺失问题，更暴露出在去中心化协议上构建商业级应用的普遍困境：开发者往往精于协议与功能，却严重缺乏维护用户信任、管理公共形象和提供持续支持的产品运营能力。用户对低分和无人回应的强烈反应，本质是对产品长期可靠性和生命力的深度质疑。

更深层地看，Graysky的价值完全寄生在Bluesky协议之上，其生存逻辑在于提供官方应用未能满足的“痒点”。但这种补充性价值极其脆弱，一旦官方客户端在性能或关键功能（如翻译）上迎头赶上，第三方客户端的生存空间将被急剧压缩。当前版本的功能更新，更像是在协议能力范围内“锦上添花”的微创新，而非构建不可替代的护城河。

综上所述，Graysky 2.0呈现了一个“技术可行，运营崩塌”的典型样本。它证明了在开源协议上做功能增强的技术可能性，但也赤裸裸地展现了，若无法同步构建可信赖的产品品牌与用户服务体系，任何技术亮点都将在糟糕的用户口碑中迅速湮灭。它的真正挑战已不在代码层面，而在如何从一个“兴趣项目”转型为一款“负责任的产品”。

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Graysky 2.0

Graysky 2.0 adds Liquid Glass support!

New update includes Liquid Glass and more.

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Wow, Graysky is awesome! Inline translations are a game changer for following global feeds. How does the algorithm handle translated content in terms of relevance to my existing custom feeds?

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Yikes -- the Play Store reviews are terrible (2.7 rating as of me writing this), and I don't see any developer responses to any of the comments. Does not make me want to try this.

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一句话介绍：Planelo为开发者提供了一个以“想法优先”的轻量级工作空间，通过简洁界面和原生API端点，解决了开发者在灵感涌现时因传统项目管理工具过于臃肿而打断流畅思考的痛点。

Productivity Notes Developer Tools

开发者工具知识管理效率软件想法捕捉 API驱动跨平台同步隐私加密轻量级项目管理自动化工作流

用户评论摘要：用户认可产品“轻量、不臃肿”的定位，创始人分享了开发初衷是避免工具管理压倒灵感捕捉。有效建议包括：加强与X（推特）等外部平台的内容抓取集成。用户关切点集中在数据长期存储安全性与隐私保护上，创始人回应采用加密存储且数据永不自动删除。

AI 锐评

Planelo的叙事精巧地击中了现代知识工作者，尤其是开发者的一个核心矛盾：在追求结构化产出与保持自由思考之间的张力。它看似是又一个笔记应用，但其真正的颠覆性在于将“每个想法和项目都暴露为API端点”。这绝非锦上添花，而是从根本上将“想法”从静态信息单元升级为可编程、可触发的动态节点。

产品标语“The idea-first hub”中的“first”是关键词，它暗示了一种工作流哲学的重排：传统项目管理工具要求先定义结构（项目、看板、状态），再填充内容；而Planelo主张内容（想法）即结构，且该结构具备天然的、可扩展的机器可读性。这使开发者能绕过繁琐的“管理开销”，直接进入创作流，并在需要时，通过API无缝接入自动化脚本、AI智能体或CI/CD流程，实现“想法即动作”。

然而，其挑战也显而易见。首先，其“简洁”界面与“灵活”底层API的平衡是一把双刃剑，普通用户可能止步于表面，而高阶自动化需求又可能很快触及该专用工具的天花板，陷入它本想避免的“工具复杂化”陷阱。其次，评论中关于外部集成的建议暴露了其生态位风险——在信息输入源头（如浏览器、社交平台）已被巨头垄断的当下，作为一个“中心”的竞争力高度依赖于连接器的丰富程度。最后，其商业模式未提及，仅靠“加密同步”和“永不删除”的承诺作为卖点，在长期运营和数据主权日益敏感的未来，能否持续仍是问号。

总之，Planelo的价值不在于替代Notion或Jira，而在于开辟了一个“API原生”的轻量级思维层。它能否成功，取决于能否围绕“可编程想法”构建起一个足够有吸引力的微生态，让开发者心甘情愿地将最初的灵感火花交付于此，并让火花能真正点燃后续的自动化引擎。

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Planelo

Planelo is an idea-first workspace for developers. Capture, structure and connect ideas across iPhone, iPad and macOS — without the clutter of traditional project tools. Each idea and project exposes an API endpoint, enabling automations and custom workflows. This launch brings a clean interface, keyboard-friendly navigation, encrypted sync, and API keys to turn ideas into actions.

Hey everyone! 👋 I built Planelo because I never found a clean, lightweight place to organize ideas as a developer — without turning into a giant project manager. I wanted something fast, simple on the surface, but flexible underneath. The API layer came from my own need to connect notes with automations, agents and scripts. Ideas shouldn’t stay static — they should trigger actions. I’d love to hear how you structure your projects and what features you'd want next!

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@dawedeveloper This is very cool. good luck

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Hey David, that line about not wanting a giant project manager really resonates. Was there a specific tool where you realized you were spending more time managing the tool than actually capturing ideas?

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@vouchy Hey Van, great question 🙂
It wasn’t one single tool, but more a pattern I kept noticing across a few of them. After a while I realized I was spending more time setting up structures, statuses, and workflows than actually capturing ideas when they appeared.

I wanted something that feels closer to “open → write → move on”, without the overhead of a full-blown project manager. That frustration is basically what led to building Planelo in the first place.

Curious — did you hit a similar moment with your setup too?

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Congrats on the launch! One suggestion: often I get inspiration when I am browsing X - someone will share an open source repo or paper. It would be great to be able to easily share this into Planelo as the seed of an idea.

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@derekattonkotsu Thanks, Derek! 😊 That’s exactly what Planelo is built for — it has a native share extension, so you can save links, images, voice memos, and files directly from X (or anywhere) as the starting point of an idea.

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Good idea to save our future idea's is this safe can i save my ideas for long time and also give me short important features about this 😊

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@syed_liyaqat_sareer No worries 😊
You don’t have to be concerned about the safety or leakage of your ideas.

All ideas (including attachments) are encrypted on the server, and they’re only accessible to you through your account. Planelo is built with privacy in mind — your ideas are yours, not training data or public content.

Your data is also never deleted automatically. Everything stays stored as long as you want, and ideas are only removed if you delete them yourself.

If you have any questions about security or long-term storage, I’m happy to explain more 🙌

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一句话介绍：AgentNotch是一款常驻MacBook“刘海”屏菜单栏的轻量级应用，为使用Claude Code和OpenAI Codex等AI编程助手的开发者提供实时工具调用、令牌消耗及成本监控，解决了开发者在沉浸式编码过程中对AI助手内部工作状态不透明、API费用不可控的痛点。

▶

Productivity Artificial Intelligence GitHub Menu Bar Apps

AI编程助手开发者工具 macOS应用实时监控成本管理菜单栏应用刘海屏利用可观测性效率工具

用户评论摘要：用户普遍称赞其创意，将闲置的“刘海”区域变为信息面板很聪明。核心好评集中在实时工具跟踪与成本监控功能上。有效提问包括：是否支持Codex自定义工具（已确认支持），以及是否兼容Xcode（未答复）。另有用户建议在工具执行过长时增加趣味提示。

AI 锐评

AgentNotch的本质，是将AI编程助手从“黑盒”推向“白盒”的一次精巧尝试。它的真正价值并非简单的信息展示，而在于为“人机协作编程”这一新兴工作流注入了关键的“可观测性”层。

当前，开发者与AI助手协作时常处于一种模糊的“信任”或“猜测”状态：AI在做什么？它读了哪些文件？调用了什么工具？这次生成为何如此昂贵？AgentNotch通过近乎无侵入的方式（利用OpenTelemetry等标准），将AI助手的内部“思维”过程——工具调用序列、令牌消耗——转化为直观的视觉信号（颜色区分AI源、悬浮详情），并直接映射到API成本。这直接回应了开发者两大深层焦虑：对过程失控的焦虑（“它在瞎搞什么？”）和对财务失控的焦虑（“这行代码值多少钱？”）。

其产品形态（栖息于“刘海”）是典型的“场景嵌入式设计”胜利。它放弃了传统的独立窗口或Dock图标，选择与Mac硬件特性深度绑定，实现了信息传递的“始终在线”与“零焦点抢夺”，完美契合了开发者主屏幕空间珍贵、需要持续但非中心化关注的使用场景。

然而，其犀利之处也隐含着局限与挑战。首先，其价值严重依赖于上游AI助手（如Claude Code、Codex）自身提供的遥测数据完备性与质量，这使其更像一个优秀的“仪表盘”而非“控制器”。其次，当前支持的AI助手生态有限，在AI编码工具快速迭代、多模型并用的现实中，其扩展能力面临考验。最后，从长远看，当AI助手的可靠性与可解释性足够高，或API成本降至忽略不计时，此类监控工具的“止痛”价值可能会衰减。

总之，AgentNotch是一款精准捕捉到当下AI编程混合工作流中“认知摩擦”与“成本恐惧”的精致工具。它不改变AI编码的能力边界，但显著改善了人机协作的交互体验与心理安全边界。它的出现，标志着AI工具生态正从单纯追求“能力强大”，向兼顾“过程透明、管理可控”的成熟阶段演进。

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AgentNotch

AgentNotch is a macOS menu bar app that lives in your Mac's notch, providing real-time visibility into your AI coding assistants. Watch as Claude Code and OpenAI Codex think, read files, and execute tools while you do other tasks. Install via Brew, and follow guide on Github to setup telemetry for CC and Codex. brew tap AppGram/tap brew install --cask agentnotch

Real-Time Tool Tracking See every tool call as it happens — file reads, code edits, shell commands, and more. Know exactly what your AI assistant is doing at any moment. Token and Cost Monitoring Track token usage (input/output) and estimated costs in real-time. Never be surprised by API bills again. Meme Subway surf video if tool is taking to long and list of executed tools becomes boring Source-Aware Design Orange indicator for Claude Code Blue indicator for Codex Light blue for unknown sources Visual distinction lets you know which AI is active at a glance. Completion Detection Get notified when your AI assistant finishes a task. No more wondering "is it still thinking?" Lightweight and Native Lives in your Mac's notch — zero screen real estate used Native macOS app — fast, efficient, battery-friendly Expands on hover to show details Configurable Show/hide token counts Show/hide cost estimates Filter by source (Claude/Codex) Toggle menu bar icon

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Wow, AgentNotch is genius! Love the idea of seeing my AI coding assistants working directly in the notch. Does this work with custom tools in Codex, or just the standard set? Curious about extending its functionality.

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@jaydev13 works with both, since it's using otel calls that codex provides.

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Using the notch for AI telemetry is genius — that space is just sitting there doing nothing on most Macs.

Token tracking and cost visibility is exactly what vibe coders need. Easy to lose track of API spend when you're in the flow.

As someone who built my whole product with Cursor + Claude, I would've loved this. Congrats! 🚀

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Hi, does it work with xcode? As this is not mentioned anywhere...?

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一句话介绍：Gridfy.io 是一款无代码工具，可将 Airtable、Notion 或 Google Sheets 中的数据实时转换为可自定义的网站交互式挂件，解决了非技术用户在网站上动态展示和共享结构化数据时需依赖开发的痛点。

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Productivity Website Builder No-Code

无代码开发数据可视化实时挂件 SaaS工具网站嵌入 Airtable集成 Notion集成 Google Sheets集成数据驱动交互式表格

用户评论摘要：开发者主动介绍产品定位，强调其免代码、易用性及适用场景。有用户表达高度兴趣，并询问是否可用于嵌入基于Airtable的动态活动日历，这是一个具体的使用场景验证和功能确认请求。

AI 锐评

Gridfy.io 瞄准了一个精准且日益增长的市场缝隙：将主流协同数据源（Airtable/Notion/Sheets）的“数据后端”与面向公众的“网站前端”进行无代码桥接。其真正价值并非简单的数据展示，而是将数据库的动态查询、过滤、排序能力，以品牌化、可交互的“活”组件形式输出，这实质上是将轻量级BI和内容管理功能民主化。

产品逻辑清晰，直击核心痛点：大量团队用表格工具管理核心数据，但对外展示时却卡在技术实现上，要么静态导出失去实时性，要么需开发资源。Gridfy.io 试图成为这个“最后一公里”的标准化管道。其设计的搜索、过滤、统计和域名控制功能，表明它并非玩具，而是考虑了生产环境使用的工具。

然而，其面临的挑战同样明显。首先，市场定位介于专业的嵌入式分析工具（如 Tableau Embedded）和简单的静态嵌入代码之间，需要教育用户其差异化价值。其次，重度依赖第三方数据源的API稳定性和权限体系，这是其潜在的技术风险点。最后，从评论看，尽管有兴奋点，但用户反馈样本量不足，尚未形成强烈的需求共鸣或场景扩展。能否从“有趣的工具”成长为“必备的中间件”，取决于其能否挖掘出如动态产品目录、实时排行榜、客户案例展示等杀手级应用场景，并构建足够深的护城河。目前看来，它是一个思路正确、执行到位的利基产品，但天花板可能受限于其源头工具（Airtable等）自身的生态和用户规模。

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Gridfy.io

Gridfy.io turns your Airtable, Notion, or Google Sheets data into live, customizable website widgets — no code required. Embed interactive, filterable grids that update in real time and match your brand’s look and feel. 🚀 No-code live data widgets from Airtable, Notion & Sheets 🎨 Fully customizable design: colors, fonts, layout 🔍 Search, filters & sorting built in 📈 Stats & usage tracking for your widgets 🔐 Domain access control to restrict where widgets run

Hey Product Hunt! 👋 We built Gridfy Widgets to make it effortless to share your structured data on the web without building custom code or dashboards. With Gridfy, you can connect Airtable, Notion, or Google Sheets, design a widget visually, and embed it live with a script. It’s perfect for creators, makers, and teams who want dynamic content on their sites — from leaderboards to product lists and event calendars. Tell us what you’d build with it! 💡

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Wow, Gridfy looks amazing! The live interactive grids are exactly what I need. Im curious, could I use this to embed a dynamically updated events calendar sourced from Airtable?

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一句话介绍：一款仅有一个有效按钮的混沌网页游戏，通过将“误操作”本身转化为核心玩法，在用户寻求短时、刺激、娱乐性挫败感的休闲场景下，提供了简单直接的情绪释放与挑战乐趣。

Productivity Indie Games Games

休闲游戏网页游戏混沌玩法极简主义像素风格挫败感游戏病毒传播速通挑战无需下载即时游玩

用户评论摘要：用户反馈集中于：1. 肯定其病毒式传播潜力与直播适配性（音效版权已解决）；2. 建议增加全球排行榜、提示系统、关卡渐进设计及改善文字可读性；3. 探讨有效按钮的随机逻辑与可挖掘模式；4. 核心体验被评价为“有趣而非痛苦的挫败感”。

AI 锐评

“Too Many Buttons”表面上是一款以“混沌”和“挫败”为卖点的无厘头游戏，但其真正价值在于对现代数字交互习惯的一次精巧解构与戏仿。在追求极致效率与确定性的时代，它反其道而行之，将“错误点击”这一通常被尽力避免的行为，设计为游戏体验的绝对主体。这并非简单的恶搞，而是通过精心设计的“不公平”反馈（如屏幕震动、虚假弹窗），制造出一种安全范围内的、可控的失控感，让玩家在屡败屡战中获取奇特的宣泄快感。

从产品形态看，其“无需下载、即点即玩”的轻量化设计，精准匹配了其碎片化、易传播的定位，尤其契合直播娱乐场景。开发者对评论的回应也显示出清晰的产品迭代思路：在保持核心混沌体验的同时，积极考虑加入排行榜（社交竞争）、可访问性优化（字体）和模式深化（提示、模式），这有助于将一次性猎奇体验转化为具备一定留存和深度可能的游戏。

然而，其最大的风险在于核心玩法的单薄与新鲜感的快速衰减。目前的“混沌”效果库若不能持续更新或引入更深的元游戏逻辑，玩家极易在短暂狂欢后感到乏味。它更像一个出色的“游戏原型”或病毒式营销案例，而非一个具备长期生命力的产品。其成功与否，取决于开发者能否将“混沌”这一概念，从简单的视听干扰，升维为一种可探索、可掌握、甚至可竞技的深层游戏机制，从而完成从“噱头”到“经典”的跨越。

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Too Many Buttons

Too Many Buttons is a chaotic browser game where only ONE button works. Every other click unleashes random chaos - screen shakes, fake alerts, loud sounds, and instant frustration. Play Classic mode at your own pace or Speedrun mode against the clock. Choose multiple difficulties with up to 200 buttons on screen. Built with a retro pixel look and zero instructions, it’s simple, infuriating, and oddly addictive. No sign-up. No downloads. Just click and survive the chaos.

it would be cool if you added a global leaderboard so we can see who has the fastest fingers in the world

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@saturnina_brigante That’s a great idea - competition would fit the chaos really well 😄 A global leaderboard is definitely something I’m considering if people keep enjoying the game. For now I wanted to keep it simple, but seeing interest like this makes me want to explore it 👀 Thanks for the suggestion!

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I can totally see streamers playing this and raging on Twitch. It has massive viral potential. 📹 One practical question for content creators: are all the sound effects and music royalty-free/safe for streaming, so they don't get DMCA strikes while screaming at their monitors?

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@yoang_loo Love that perspective — thank you! 🙌
Yes, all sound effects and music in the game are either original or royalty-free, so it’s safe for streaming with no DMCA concerns.
Would be amazing to see streamers rage-playing it 😄📹

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This gives me serious 'The Impossible Quiz' flashbacks. It’s the perfect kind of frustrating—I definitely lean towards 'fun' rather than 'painful'. I’m curious about the 'one working button' logic—is its position completely random every time the level loads, or is there a subtle pattern/logic for speedrunners to memorize?

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@liusally4 That comparison made my day - The Impossible Quiz was definitely an inspiration 😄 Right now, the winning button is randomized on each load, so there’s no guaranteed safe spot to memorize. That said, I’m very interested in exploring subtle patterns or modes in the future if people want to speedrun or master the chaos. Appreciate you checking it out!

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OMG this is hilarious! The retro pixel look is chefs kiss. How did you make the random chaos feel so perfectly timed to be the MOST frustrating?

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@jaydev13 Haha thank you! 😄 It’s all about intentionally unfair timing - just enough randomness to make you feel in control, then pulling the rug at the worst moment. Glad the pixel chaos is working!

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this isnt what i'm on product hunt for, but im so glad it exists.

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@thecarguy Haha I’ll take that as a win 😄 Thanks for giving it a try - happy it surprised you in a good way!

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I'm sitting here in the office currently playing this game haha. Wasn't anticipating getting rick rolled! Maybe you should increase the text size a bit cause it is hard to read. Perhaps try including hints, so we can also get closer to finding the right button (although that might beat your intention of keeping it chaotic)? Is there a limit to the number of levels?

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@mustassim Haha love that it made it into the office 😄 And sorry (not sorry) about the rickroll - couldn’t resist 😅 You’re totally right about the text size - a few people have mentioned readability, so I’ll definitely improve that without losing the chaotic feel. As for hints: that’s a really interesting idea. Right now the chaos is very intentional, but I like the thought of optional hints or modes for players who want a bit more strategy. At the moment there’s no fixed level limit - it’s more about quick, repeatable chaos - but feedback like this is helping shape what it could become. Thanks a lot for playing and sharing your thoughts!

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Pretty funny project :)
I don't know if its only me, but the font and the text size make it pretty hard for read to me.

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@karol_burdzinski Thanks a lot for the feedback! 🙌
The retro / pixel style was intentional, but you’re right - readability shouldn’t suffer because of it.
I’ll experiment with font size and contrast to improve readability without losing the chaotic vibe.
Really appreciate you taking the time to try it and share this!

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I built Too Many Buttons as a small experiment around frustration as gameplay. The idea was simple: what if clicking the wrong button wasn’t a mistake - but the entire experience? Only one button lets you progress. Everything else reacts differently, sometimes in very annoying ways. I’m curious: • Does it feel frustrating in a fun way or just painful? • Which mode do you prefer - Classic or Speedrun? • What kind of chaos should I add next? Thanks for trying it - and sorry in advance 😄

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Too much irritation, i liked the idea but closed in seconds (gamer for life)
I believe it can be redone with stages or something with starting with few buttons to growing into more complex things rather than starting with final stage of 100 buttons or so you have

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一句话介绍：一款基于本地AI代理的“数字行政助理”，通过自动化整理本地文件系统，解决用户因文件混乱、手动管理耗时费力而产生的效率与隐私痛点。

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Mac Productivity Artificial Intelligence

本地AI文件管理数字行政助理隐私优先一次付费自动化整理桌面效率工具 AI代理无订阅制知识库管理生产力工具

用户评论摘要：用户普遍赞赏其本地优先、无订阅的模式，认为它解决了文件混乱的核心痛点。主要问题集中在处理大文件的性能、隐私保护的具体机制，以及希望有更充分的试用期。有效反馈体现了对“安静工作”而非聊天交互的AI助手的期待。

AI 锐评

Claw Executive OS 的叙事精明地绕开了拥挤的“AI聊天机器人”赛道，直指一个更古老、更顽固的痛点：混乱的本地文件系统。其宣称的“数字参谋长”定位，本质上是将“AI代理”概念从云端拉回本地，扮演一个沉默的、持续运行的系统级管家。这一定位巧妙避开了与ChatGPT等通用聊天AI的直接竞争，转而深耕操作系统级的“脏活累活”。

产品的核心价值主张由三个支柱构成：**隐私（本地处理）、成本（一次买断）和自动化（无感执行）**。这精准地击中了当前用户对云服务数据安全的普遍焦虑、对订阅制泛滥的厌倦，以及对“真正自动化”而非“另一个需要提示词的管理对象”的渴望。创始人Sean用“年薪6万美元的行政助理”作类比，极具煽动力，将一次性付费塑造成一种理性的“投资”，而非消费。

然而，其商业模式与长期发展存在内在张力。“一次付费，永久拥有”在赢得初期用户好感的同时，也严重限制了可持续的研发收入。本地优先虽保障隐私，但也意味着放弃了通过云端数据迭代改进模型的可能性，其AI整理能力的准确性和适应性天花板可能较低。评论中关于大文件处理的疑问，恰恰暴露了本地算力的局限。所谓的“桥梁”连接到自家AgenticFlow Cloud，虽为复杂任务提供了出口，但也隐约揭示了其未来可能通过云端增值服务寻求盈利的路径，这与“反订阅”的初心略有相悖。

总体而言，Claw是一款概念先行的产品，它敏锐地捕捉到了一个真实的市场缝隙和情绪痛点。但其真正的考验在于：本地AI模型在复杂、个性化的文件分类任务上能否达到用户可接受的智能水平；以及在没有持续订阅收入的情况下，团队如何维持长期更新与支持。它更像一个理想主义的宣言，其成功与否将取决于技术执行能否跟上精妙的定位叙事。

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Claw Executive OS

The Executive OS that automates your local file system via AI agents. No code. No monthly fees. Just results. Claw is a secure, local-first janitor that organizes your digital chaos instantly. It processes files on-device (privacy-first) and bridges to the AgenticFlow Cloud for complex 24/7 delegation. Pay once, keep it forever.

Hi Hunters! 👋 Sean here. Hiring an executive assistant costs $60k/year. They organize your files, clean your desktop, and manage your workflows. We built Claw to do that for free, locally, and instantly. We were tired of "Chat" interfaces. You don't want to chat with your file system; you want it to just work. Claw is the Executive OS that gives your AI a body: 📂 The Janitor: It watches your messy Downloads folder and organizes files instantly using local vision models. 🔒 The Vault: Your data stays on your disk. No cloud uploads for local tasks. Privacy first. ☁️ The Bridge: When you need heavy lifting, it bridges to the AgenticFlow Cloud for 24/7 complex delegation. 🚫 Why we hate subscriptions: Claw runs locally on your machine, so we don't have massive recurring server costs. That means you shouldn't have recurring fees either. Pay once, and you own the version forever. Launch Special: The "Free Forever" tier is fully unlocked, and we’ve included a $1.00 Pixel ML Credit so you can try our premium LLM models on the house. Stop doing the busy work. Download your new employee. 👇 — Sean

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@seanp_ai Hi Sean, are you spying my desktop?!

I'm super organized, except my files. My files are always a mess, and suffer a lot when I need to find something.

A question please, how do you handle the correct categorization while respecting user privacy?

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@jojo_li hey hey, I’m sharing the same problem searching stuff like you especially when we are moving fast as busy professionals. Claw fully operate on your computer + you can choose LLM provider with zero-retention policy. Also you can even use Claw with no internet via Ollama (a little setup but quite straightforward)

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@seanp_ai Great product Sean. Maybe we will get past the budget-final-reallyfinalQ3.xls with this

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Love the local-first, no-subscription approach. This feels less like “another AI chat” and more like giving your computer an actual assistant that quietly does the boring stuff. My files are always messy, definitely going to try it out 💪

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@galvin much appreciated! Saner AI always my inspiration to build Claw !

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Wow, such a great idea! I’m the type of guy who download and screenshot tons of things, then spend 30 mins organizing and deleting them every Sunday. Will check this out!

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@henry_at_anystory thanks Henry, much appreciated!

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Wow, Claw Executive OS looks amazing! Love the local-first approach for privacy. How does the on-device processing handle extremely large video files? Super curious!

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Great idea for local work. I tried Claw and it helps to organize my local storage and work with my files as a knowledge base. Also I connected my Google Gemini and Perplexity subscriptions so that I can use everything in one place. Nice idea!

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Great idea, would be great to have pro unlocked for a day to test it. I love the idea.

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一句话介绍：NotifyGate是一款无需更改代码即可集中管理和智能路由通知的平台，在系统监控与运维场景下，解决了警报泛滥、路由僵化、交付状态不透明等痛点，帮助团队提升告警处理效率。

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API Developer Tools

通知管理运维自动化 SaaS 可观测性团队协作警报降噪无代码配置实时仪表板 AI代理集成 API集成

用户评论摘要：用户认可产品解决“警报洪泛”和无需改代码的核心价值，关注团队协作功能。主要问题聚焦于静默功能的颗粒度，创始人回复证实支持基于事件类型、严重级别、元数据等的精细过滤，并积极邀请测试与反馈。

AI 锐评

NotifyGate切入了一个看似简单却极其顽固的运维痛点：通知管理的“最后一公里”混乱。其宣称的真正价值并非简单的信息中转，而在于将通知逻辑从硬编码中解耦，实现了运维策略的“软”控制与实时迭代。这本质上是为日益复杂的分布式系统提供了一个动态的、中心化的“通知策略层”。

产品聪明地避开了与现有监控或日志工具的竞争，转而充当其下游的智能路由器。内置重试、实时看板等功能属于必要基建，而“AI代理集成”的提法则略显暧昧，可能是未来用于智能降噪或自动分诊的伏笔，但目前看来并非核心。

其面临的挑战清晰可见：首先，作为新的中间层，它增加了架构复杂性，用户需要评估其可靠性与延迟成本；其次，高级的过滤与路由规则可能带来新的配置负担，将代码中的混乱转移至UI配置的风险依然存在。最后，其商业模式将取决于能否从“好用的小工具”演变为团队协作与事件响应流程中不可或缺的“策略中枢”。

当前版本解决了可见性与控制灵活性的燃眉之急，但长期成功取决于能否构建深厚的集成生态与策略模板库，让用户真正感受到“配置即生效”的敏捷，而非替换了一种形式的“代码债务”。创始人积极互动的姿态值得肯定，但需警惕在用户反馈中陷入功能堆砌，应坚守其“简化”的核心使命。

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NotifyGate

Control your notifications without code changes. Route to Slack, Discord, Email & more. Mute noisy alerts, throttle chatty services, and escalate critical issues—all from a web UI. Built-in retries, real-time dashboards & AI agent integration.

Hey Product Hunt! 👋 I built NotifyGate because I was tired of: - Getting flooded by the same alert 100 times during an outage - Deploying code just to change where notifications go - Having zero visibility into what notifications are actually being delivered NotifyGate sits between your services and notification channels. You send events to one API, then control everything else from the dashboard—routing, throttling, muting, escalation, and more. The best part? You can change any of this instantly without touching your code. During a maintenance window? Toggle a mute rule. New team member needs alerts? Add a routing rule. Noisy service? Throttle it. I'd love your feedback! What notification pain points do you deal with?

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@red_lin Really nice product I like the focus on team collaboration. I’m currently working solo, but I’d love to try it as the team grows. If you’re ever open to a conversation around improving product security as you scale, happy to connect

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Wow, NotifyGate looks amazing! The idea of throttling chatty services without code is brilliant. How granular can I get with the muting - can I silence specific types of events from a service, or is it all-or-nothing?

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@jaydev13 Thanks so much for checking out NotifyGate! 🎉

To answer your question - yes, the muting is very granular! You can silence specific event types, filter by severity level, target specific projects/modules, match on metadata fields, and even use regex patterns on titles. It's designed so you can surgically mute exactly what you need without affecting everything else.

I'd love to get you set up to try it out! If you'd like an invite, just let me know and I'll get that sorted.

And genuinely - any feedback you have would be incredibly valuable. Whether it's:

Features you wish existed
Anything confusing in the UI or docs
Use cases that aren't well supported
Rough edges you run into

I'm all ears. This is the kind of input that shapes where the product goes next, so don't hold back!

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一句话介绍：一款能自动识别网页表格数据并一键生成交互式图表的免费Chrome插件，解决了用户手动复制粘贴数据到表格软件进行可视化的繁琐痛点。

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Chrome Extensions Data & Analytics Data Visualization

浏览器插件数据可视化自动化图表网页数据提取效率工具数据分析免费工具交互式图表一键生成数据洞察

用户评论摘要：用户反馈积极，认为产品是“游戏规则改变者”。主要问题聚焦于技术细节：一是询问自动检测数据的具体算法；二是关心其对复杂嵌套表格（如政府报告）等边缘案例的处理能力。开发者回应算法基于DOM结构和内容启发式规则。

AI 锐评

Datastripes Lens 瞄准了一个广泛存在但长期被忽视的“数据沼泽”痛点：网页上大量以静态表格形式存在、难以直接分析的数据。其核心价值并非技术创新，而是体验创新——将传统需数分钟、跨多个软件的数据提取与可视化流程，压缩为一次点击。这本质上是为普通用户（非专业数据分析师）提供了一种低门槛的“数据透视”能力，试图将好奇心的瞬时火花，快速转化为可视化的洞察，从而可能改变人们浏览信息密集型网页的行为模式。

然而，其天花板也清晰可见。首先，其“智能识别”的可靠性高度依赖于网页结构的规整性，面对非标准、复杂或动态加载的表格，体验很可能大打折扣，正如用户所担忧的“边缘案例”。其次，当前它更像一个高效的“视图转换器”，在真正的数据分析深度（如数据清洗、复杂计算、多源关联）上存在局限。它的真正对手或许不是Excel，而是现代浏览器自带的“开发者工具”中简单的复制表格功能，以及AI助手（如ChatGPT）日益强大的数据理解与图表生成能力。

因此，产品的长期价值不在于成为全能的数据分析平台，而在于能否极致化其“即时、无摩擦”的单一特性，并围绕特定垂直场景（如竞品监控、财报速读、价格追踪）构建不可替代的“Lens”库，从通用工具进化为场景化解决方案。其94的投票数显示了市场对“降噪提效”工具的渴望，但能否从“有趣的小工具”成长为“必备的工作流环节”，取决于其面对混乱真实网络数据的鲁棒性，以及能否构建起超越“一键生成”的、真正的分析洞察护城河。

查看原始信息 ▼

Datastripes Lens

Stop copying data to spreadsheets. Datastripes Lens is a free Chrome extension that transforms boring tables and numbers on any webpage into a powerful gallery of interactive charts with one click. Your personal data analyst, right in your browser.

Hey Product Hunt! 👋 I'm Vincenzo, the maker of Datastripes Lens. For years, I've been frustrated by a simple, universal problem: the web is filled with valuable data, but it's trapped in static HTML tables and boring lists. To analyze it, we all fall back on the same painful process: copy, paste into Excel/Sheets, fight with formatting, and finally, maybe, build a chart. It's slow, tedious, and kills curiosity. Datastripes Lens is my answer to that problem. It's a "magic lens" for your browser that instantly turns any data on any webpage into beautiful, interactive visualizations. Here’s how it works: ✨ It auto-detects data: Browse any page with a table (think pricing pages, financial reports, analytics dashboards, CSV files). A small, friendly dot will appear. 🖱️ One click is all it takes: Click the dot, and a full gallery of charts (Bar, Line, Pie, Doughnut, and even Radar charts) pops up, instantly analyzing the data for you. 🧠 It’s smart: Lens intelligently identifies the best dimensions and metrics to give you a meaningful chart from the get-go. No setup required. 💾 Save your views with "Lenses": Found the perfect analysis for a page you visit often? Save it as a "Lens"! Next time you visit that URL, your favorite chart will be ready and waiting. The goal was to create a tool that feels like a superpower for marketers, founders, analysts, and anyone who's ever thought, "I wish I could just chart this." I’m here all day to answer your questions and hear your feedback. What will you analyze first? Check it out: it’s free! Thanks for your support

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@vincenzo_manto cool! idea on converting every web data into visual charts, with this much sleek UI

looking forward to try out!!

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Interesting :) Would love to know more about the algorithm which that auto-detects data

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@bekjon_ibragimov Thx! Behind the core functionality of Datastripes Lens is an algorithm that exploits the structure of the DOM and many heuristics on the content of web data.

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Wow, Datastripes is incredible! The Lens extension is a game changer. Does it handle really complex, nested tables well, like those found in government reports? Super curious about the edge cases!

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一句话介绍：一款帮助内容创作者将单一内容适配并一键发布至9个以上社交平台，通过AI工具提升效率并整合数据分析的跨平台发布管理工具，解决了多平台运营繁琐且成本高昂的痛点。

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Productivity Artificial Intelligence Social media marketing

社交媒体管理内容创作 AI工具多平台发布内容再创作智能排期数据分析 UGC视频 SaaS

用户评论摘要：用户肯定其解决多平台发布痛点的价值，并关注AI处理方式（客户端/服务器端）与隐私安全。建议包括：优化标语以强调“影响力”而非“工作”；简化UX使其更友好非极客；明确安全规划。

AI 锐评

TheTabber切入了一个拥挤但痛点明确的赛道：社交媒体管理。其核心价值并非简单的“一键发布”，而在于“AI驱动的再创作”这一差异化定位。将长视频拆分、生成字幕、创建UGC风格视频等功能，试图解决内容创作者最本质的难题——内容产能与形式适配。这比单纯的调度发布前进了一步。

然而，其面临的挑战同样尖锐。首先，定价策略在竞争激烈的市场中优势不明，需直面Buffer、Hootsuite等成熟产品的压力。其次，评论中暴露的“极客感”UX是致命伤，因为目标用户创作者群体对体验和直觉操作要求极高。最后，其技术路径存在矛盾：为强调隐私采用客户端AI处理，但这可能限制复杂AI模型的能力与处理速度；未来提供服务器端选项的规划，又将用户拖入隐私与效能的权衡困境。

真正的问题是：TheTabber是“功能聚合器”还是“智能创作伴侣”？前者易陷入同质化竞争，后者则需在AI内容理解的深度上构建壁垒。目前看，它更像前者增加了一层AI功能外衣。若想突围，必须将AI从“辅助工具”升级为“创作核心”，例如实现跨平台内容风格的深度自适应，而不仅是格式裁剪。否则，它很可能只是创作者工具链中又一个可替代的中间环节。

查看原始信息 ▼

TheTabber

TheTabber.com helps creators upload or pull content from another account, then repurpose and publish it everywhere. It has smart scheduling, analytics, and AI-powered tools.

Hi Product Hunters! Thank you so much for checking this out :)

I've been using TheTabber primarily to repurpose my mom's TikTok content for other social media platforms. The available options are too expensive and too cluttered and confusing.

I thought, why not add more features with a clean and easy-to-use UI and publish it? So here I am.

I came up with the name TheTabber because the more tabs you have open for social media posting, the more of The Tabber you are--and this product is for you. LOL!

These are the available features so far:

Connect 9+ social platforms
Post or schedule image, carousel, video, or text content
Repurpose content from other social media accounts
View analytics of your posts
Create UGC-style videos with AI help
Create 2x2 image grid videos with AI help
Generate captions, edit styles, split long video into segments with AI help

Pricing (3-day free trial):

Starter - $4.99/month
Pro - $14.99/month
Premium - $29.99/month

All of them get a 20% discount if billed annually.

On top of that, I’ve also added another 20% discount if you enter “PH-LAUNCH” in the promotion code section on Stripe's checkout page.

I’d love to hear what you think. Feedback, suggestions, or questions are all welcome!

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@quietlyconfident This looks really useful for influencers and anyone posting content across multiple platforms. I’m not the core user myself, but I plan to refer this to a few creator friends. Out of curiosity, are you already thinking about security for TheTabber, or is that something you’re planning to focus on later as the product grows?

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Hey team, congrats on the launch of TheTabber! Managing 9 platforms is a huge pain point, and the integrated UGC video creator is a smart differentiator.

I’m a technical conversion strategist (Kaizier). I noticed your headline focuses on the 'work' (One Upload), but your target audience—creators—cares about the 'Reach.' > I’ve drafted a 'Visibility-First' Hero rewrite that positions TheTabber as an audience multiplier rather than just a time-saver. Want me to send it over so you can drive more sign-ups from today’s traffic?"

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@kaizier_malerm Thank you for pointing that out! I’d really appreciate it if you could share your recommendations.

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Congrats guys!!

Quick question! For the AI-powered repurposing tools, are you using multimodal models (e.g., for video captioning or image-to-grid generation) with client-side processing for privacy, or server-side with queuing to manage costs and latency during bulk scheduling?

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@cathcorm Thank you and great question! For now, we use client-side processing for privacy, but we plan to add a server-side option and keep both available in the future based on user demand :)

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Hey @quietlyconfident Congrats on the launch and this is super helpful, solve a real pain point, as a creator :)

However, is there a way to make your UX less complex and more user friendly? In my humble opinion it feels very geeky and could be sleeker maybe

Thanks!!

Fahd

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@fahd_rachidy Thank you, Fahd! I can see how someone might feel that way. I hope it won’t feel too complex after the onboarding process, but I’m always looking for ways to make the UX as simple and user-friendly as possible.

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一句话介绍：一款本地优先的AI编程会话存档与分析工具，通过自动归档、完整回放和全局搜索，解决开发者遗忘AI编程会话上下文、决策过程和有效代码片段的痛点。

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Developer Tools Artificial Intelligence GitHub Vibe coding

AI编程辅助开发者工具会话存档本地优先知识管理效率工具数据分析 Claude Code 隐私安全会话回放

用户评论摘要：用户高度认可产品理念，认为AI编程会话是新型文档。主要反馈包括：强烈要求扩展支持其他AI平台（如Gemini）；创始人积极回应，表示已在规划中。创始人主动征集后续开发方向，如新指标、支持更多工具及团队功能。

AI 锐评

yolog.dev Desktop 切入了一个被忽视但至关重要的缝隙市场：AI编程的“会话资产管理”。它真正的价值不在于简单的日志记录，而在于试图为AI辅助编程这种高度非线性的工作流建立可追溯的“决策谱系”。传统版本控制管理代码结果，而yolog试图管理产生代码的思维过程和交互“氛围”。

其提出的“氛围指标”概念颇具野心，试图量化人机协作的杠杆率与节奏，这直指当前开发者评估体系的盲区。当代码产出越来越依赖提示工程与迭代对话时，衡量“token杠杆率”或许比计算代码行数更有意义。本地优先的设计是明智的双刃剑，它确保了隐私并降低了使用门槛，但也为其未来的协作与知识共享愿景设下了天然屏障。

然而，其核心风险在于生态绑定。目前深度依赖Claude Code，这使其生存与单一产品的API变动强相关。用户的扩展需求也印证了这一点。此外，将非结构化的对话日志转化为可搜索、可量化的“知识”，需要极强的语义处理与摘要能力，这对一个小型本地应用是持续的技术挑战。它本质上是在与用户的遗忘习惯和AI服务的封闭性作斗争，其成败将验证“AI编程会话是否值得被严肃对待为知识资产”这一核心假设。

查看原始信息 ▼

yolog.dev Desktop

Your vibe coding sessions disappear into JSONL files you'll never open again. yolog.dev Desktop fixes this. 🗂️ Archive & Replay – Import from Claude Code. Full playback with timeline. 🔍 Search – Find that decision you made with AI couple days ago. 📊 Vibe Metrics – Token leverage, burn rate, flow detection, streak tracking. 💰 Cost Tracking – Per-project / Per-session breakdowns. 🔒 Privacy-First – All data stays local. ~10MB app.

I want every developer to have a permanent, searchable memory for their AI sessions. I've made a decision: If yolog.dev Desktop hits the Top 5 today, I will make all current pro features free for everyone.

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Wow, I’ve been wanting exactly this! 😄 Sometimes I’m restoring chats again and again, but totally forget which conversation led to which build... haha.
Quick question — does this work only with Claude Code, or does it support other platforms too? Like Gemini, maybe? 🔥

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@xiayan1999 Love to hear this! 😄 Still early days, lots of ideas I want to build into yolog, so any feedback or suggestions are super welcome. Gemini support is definitely on the roadmap!

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Hey PH! 👋 I built yolog because I kept having the same frustrating experience: solving a problem with Claude Code, then hitting the same problem weeks later and having no idea where that session went. AI coding sessions are like a new form of documentation – they capture not just the code, but the reasoning, the failed attempts, and the "aha" moments. They are the pulse of the interaction between you and the AI. They shouldn't disappear. The "Vibe Metrics" came from realizing that traditional dev metrics (lines of code, commits) don't capture AI-assisted work. When you prompt Claude with 50 characters and get back 500 lines of working code, that's a 10x leverage moment worth understanding. I'm especially proud of the streak system, it gamifies daily vibe coding and shows long-term patterns in your collaboration style. Would love your feedback: * What metrics would you want to track? * What further vibe coding CLI / tools should we support next? * Would team/sharing features be valuable? Best, Yuanhao

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If AI coding is how we're all going to work, we need a reliable way to preserve that knowledge. yolog.dev Desktop keeps your sessions searchable and replayable. All local-first, so your data stays on your machine. Currently supporting Claude Code, with more tools on the way.

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一句话介绍：Droppy是一款将MacBook刘海屏变为实用文件暂存区，并集成浮动收纳篮、剪贴板管理、媒体控制和自定义HUD的免费开源效率工具，解决了用户在多任务处理时频繁切换窗口、临时文件无处安放及系统功能分散的痛点。

Mac Productivity Open Source GitHub

macOS效率工具刘海屏利用开源免费剪贴板增强系统增强文件暂存媒体控制自定义HUD 生产力套件开发者工具

用户评论摘要：用户反馈主要为开发者发布的产品更新日志，重点介绍了4.7与4.8版本的重大升级，包括媒体播放器与系统HUD视觉重设计、新增电池HUD、原生更新器、大幅性能优化（内存占用降80%以上）以及多项体验修复。评论中未出现用户提出的问题或批评性建议。

AI 锐评

Droppy展现了一个典型的“边缘创新”案例：它没有创造全新的需求，而是敏锐地捕捉到了硬件设计（MacBook刘海屏）与系统交互之间的“闲置地带”，并将其转化为功能锚点。其真正价值不在于“五个工具合一”的简单堆砌，而在于它试图构建一个**以屏幕物理边缘为交互核心的轻量级效率层**。

产品逻辑清晰：以“Notch Shelf”这个极具话题性的功能作为入口和记忆点，吸引用户；再用“Floating Basket”和“Clipboard Manager”解决高频、瞬时的内容暂存与流转需求，这是其核心实用价值所在；而媒体控制和HUD定制，则是为了增强用户粘性，让工具更深地嵌入系统交互流程。开源免费策略，既是开发者的情怀，也是其在成熟效率工具市场中快速获取早期用户和口碑的犀利手段。

然而，其挑战同样明显。首先，**功能依附性风险**：其核心卖点高度依赖MacBook的刘海屏硬件设计，若未来苹果取消此设计，其独特性和用户认知将受重创。其次，**“瑞士军刀”悖论**：集成的功能虽相关，但每个领域都有更强大、更专业的独立应用（如Alfred、Paste）。Droppy必须在“足够好用”与“保持轻量”之间找到精妙平衡，否则易陷入两头不讨好的境地。从4.8版本大幅优化性能来看，开发者已意识到集成工具可能带来的资源消耗问题。

最新版本专注于性能、动画和系统融合度，表明其正从“有趣的想法”走向“稳健的工具”。它的未来，不在于功能数量的继续膨胀，而在于能否围绕“边缘交互”这一核心，构建一个体验无缝、资源节制、并能随系统生态演进的**微型效率平台**。它未必能取代任何主力工具，但有望成为许多Mac用户“用了就回不去”的贴心系统补丁。

查看原始信息 ▼

Droppy

Droppy combines 5 essential productivity tools into one macOS app: 🗂️ Notch Shelf - Files snap into your MacBook's notch 🧺 Floating Basket - Summon with a mouse jiggle 📋 Clipboard Manager - History with OCR 🎵 Media Player - Now Playing in your notch 🔊 Custom HUDs - Volume/brightness overlays Free & Open Source forever.

Hey Product Hunt! 👋 I'm Jordy, and I built Droppy because I wanted to make the MacBook notch actually useful. What started as a simple file shelf has evolved into a complete productivity suite. Droppy is completely free and open source (MIT license). No subscriptions, no paywalls - just a tool built with love for the macOS community. Key features: • Notch Shelf - Use the space around your webcam to store files temporarily • Floating Basket - Jiggle your mouse while dragging to summon a drop zone anywhere • Clipboard Manager - Full history with OCR text extraction • Media Player - Now Playing controls right in your notch • Custom HUDs - Beautiful volume/brightness overlays Would love to hear your feedback and answer any questions!

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Hey everyone! Just released Droppy 4.7 with some major updates:

🎵 Media Player Completely revamped the Now Playing HUD - smoother animations, better layout, new seek slider that matches the system HUD style.

🔊 Volume & Brightness HUD Redesigned system HUDs with new slider aesthetics - they thicken with a subtle glow when you're adjusting values.

⌨️ New Shortcuts

Cmd+A to select all items in Shelf or Basket
Shift+Click range selection in Clipboard Manager

🔧 Quality of Life

Fixed transparency mode bugs in Settings
"To Shelf" buttons now hidden when Notch Shelf is disabled
Performance improvements for shelf animations

Install via Homebrew:

brew install --cask iordv/tap/droppy

Or grab the DMG from GitHub

Free & open source as always!

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Congrats on the launch and thanks for sharing!

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@kostgx Thanks for your comment! I'm currently building more/better features and polishing. Excited to build Droppy!

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🎉 Droppy 4.8 is here! Massive update with Battery HUD, Native Updater, RAM/CPU optimizations & more!

Hi again! It's been an incredible sprint of updates since 4.6 and I wanted to share everything that's new. This is probably the biggest quality-of-life update yet!

⚡ NEW: Battery Charging HUD

When you plug in or unplug your charger, Droppy now shows a beautiful battery indicator right in the notch!

Green pulsing glow when charging
Orange warning for low battery
Seamlessly integrates with the existing volume/brightness HUDs

(Battery HUD follows the same design as volume/brightness)

🎨 Native DroppyUpdater

No more ugly Terminal windows! Updates now show in a beautiful native macOS window:

Animated progress with checkmarks for each step
Confetti celebration when update completes 🎊
Green "Launch Droppy" button when ready
Falls back gracefully if anything goes wrong

🚀 Massive Performance Improvements

RAM Usage (Down 80%+!)

Images now stored on disk instead of in memory
Lazy loading - only loads what you see
Thumbnail caching with LRU eviction
Went from 2.9GB with large clipboard to ~400MB

CPU Usage

Removed expensive hover animations that caused layout recalculations
Async thumbnail loading prevents main thread blocking
Optimized scrolling in clipboard manager
Canvas-based confetti (60fps, no lag)

🎵 Polished Media Player

The expanded media player got serious attention:

Pixel-perfect padding - Album art, timestamps, and controls now align consistently on all edges
Smooth transitions - Symmetric animations when switching between media player and drop zone
Slider interactions - Track expands and glows when dragging

🔧 Other Improvements

macOS 14 compatibility - Graceful degradation for older systems
Fixed Brightness HUD false triggers - No more random HUD popups when plugging in power
Swift 6 compatibility - Cleaned up async/await warnings
Consistent transitions - All view switches now animate the same way

🐛 Bug Fixes

Auto-update quarantine issues completely resolved
"Cleaning up" spinner no longer stays visible after update
Volume/Brightness HUD sizing issues fixed
Call HUD for FaceTime/Zoom calls improved

Download:

brew install --cask droppy

or grab from
GitHub Releases

Support development: Buy Me a Coffee ☕

Let me know what you think! What features would you like to see next? 🙌

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一句话介绍：Zyve是一款情境感知的智能日程规划应用，通过整合实时交通、天气、地点详情等信息，在家庭及多人协作的日常规划场景中，解决了因现实世界变量导致计划脱节、沟通成本高昂的痛点。

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Android Productivity Task Management Calendar

智能日程规划情境感知实时协作生活管理家庭协调动态调整生产力工具实时交通整合天气集成

用户评论摘要：创始人分享了产品源于家庭协调的真实痛点。用户反馈界面简洁、压力感低。核心关注点在于产品如何动态处理意外变化，官方回复称通过定时任务检查变化并提醒用户调整。

AI 锐评

Zyve切入了一个被主流日历工具长期忽视的“泥泞现实”层。Google Calendar等产品将日程抽象为静态的时间方块，而Zyve的野心在于为这些方块注入现实世界的“流体”——交通、天气、地点详情乃至协作成员的状态。它的真正价值并非简单的信息聚合，而在于试图构建一个“抗熵增”的规划系统，在计划与执行的断层中搭建自适应桥梁。

然而，其面临的挑战同样尖锐。首先，是“通知”与“焦虑”的边界问题。集成越多实时数据源，意味着潜在干扰越多，如何做到“更少确认，更多从容”而非相反，极度考验其算法推荐与用户交互设计的功力。其次，其商业模式与生态壁垒存疑。作为独立应用，它严重依赖第三方地图、天气API，成本与数据可控性受限，而巨头完全有能力在其现有日历中快速复制核心功能。最后，其“动态调整”的逻辑深度有待观察。目前看仍是基于规则的提醒，未来能否进化到基于历史数据与群体行为的预测性规划，将是其护城河所在。

总体而言，Zyve是一次有价值的范式探索，它指出了下一代效率工具的核心矛盾：在高度不确定的世界中，坚守静态计划本身就是最大的不效率。它的成功与否，将取决于能否在智能干预与用户心智负担之间找到那个精妙的平衡点。

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Zyve

Zyve is a context-aware day planner built for real life. It upgrades events with live intelligence like traffic, weather, nearby places, and timing gaps so plans stay realistic, not theoretical. Designed for people coordinating with others, Zyve helps you adjust on the fly, avoid clashes, and move through the day calmly instead of constantly reacting.

Hey Product Hunt!

Zyve came out of a very real problem at home. My wife and I were constantly double-checking plans, who’s handling our daughter’s doctor appointment, did we agree on the time, will traffic make us late, is parking going to be a mess, should we leave earlier because of the weather?

We tried Google Calendar and a few other tools, but they’re built around static events, not families or real-world coordination. They don’t adapt when traffic changes, weather turns bad, plans shift, or when place-specific details like parking actually matter. That gap caused more back-and-forth than clarity.

So I started building Zyve as a context-aware day planner, one that adds real-world intelligence like traffic, weather, nearby places, and timing gaps directly into shared plans. The goal isn’t more notifications, but fewer “wait, did we account for this?” moments.

This has been built slowly and intentionally as a solo project, shaped by everyday household planning friction for families and roommates.

I’d love to hear how you coordinate plans today and where things usually fall apart for you.

Regards,
Bharath

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@bharathleti Hi Bharath, congrats on the launch! Building a solo project isnt easy at all!

I'm a heavy planner user too, i will give your product a try.
and btw... I'm pretty sure your MTBI ends with a J 😄

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@bharathleti Good luck with the launch. Will check it out today :)

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Have tried out Zyve and really appreciate the clean, low-stress feel of the interface.
I'm curious how it handles unexpected changes during the day - is the schedule meant to adapt dynamically, or more as planning reference?

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@kiyaaa_ thank you so much! There is an hourly job that looks for changes in weather, traffic and conflicts with others in the group. Alerts the user to adjust.

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一句话介绍：Webira是一款AI驱动的网站创建工具，旨在帮助创业者、小企业主等非技术用户，在几分钟内快速生成专业、响应式网站，解决传统建站耗时、昂贵且操作复杂的核心痛点。

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Marketing Website Builder Artificial Intelligence

AI网站生成无代码开发中小企业建站响应式设计模板化工具拖拽编辑器快速上线数字营销工具

用户评论摘要：评论主要为创始人自我介绍和祝贺，有效反馈稀缺。创始人Cyril阐述了产品解决小企业建站痛点的初衷，并详细列出了核心功能。暂无来自真实用户的体验反馈、问题或建议。

AI 锐评

Webira切入的是一个高度拥挤且竞争白热化的市场——无代码/AI建站。其价值主张清晰明确：为技术能力薄弱的小企业主提供极速、省心的解决方案。从产品介绍看，它集成了当前主流卖点：AI生成、拖拽编辑、高转化模板，旨在将建站流程压缩到“分钟”级。

然而，其真正的挑战与价值考验在于以下几点：首先，**差异化模糊**。在Wix、Squarespace等巨头以及众多AI建站新秀的包围下，Webira宣称的“快速”、“美观”、“无需技能”几乎是市场准入标配，而非独特优势。其产品介绍未能回答“为何是它”这一关键问题。其次，**技术深度存疑**。所谓“AI生成”网站，其输出质量、设计的真正定制化程度、以及对业务逻辑的理解深度，是决定其能否脱离“玩具”范畴的关键。若仅是模板的智能填充，则价值有限。最后，**市场验证缺失**。Product Hunt上47票的热度和几乎为零的实质性用户评论，表明其尚未经历早期使用者的严格检验。创始人详尽的介绍更像是一次单向宣讲，而非与市场的碰撞。

因此，Webira的“真正价值”目前仍是一个停留在PPT上的承诺。它的成功与否，不取决于其功能列表是否华丽，而取决于其AI能否真正理解并满足细分场景的复杂需求，生成有商业逻辑的网站，而非仅仅是一个静态页面。在巨头林立的赛道，它需要找到更尖锐的切入点，或证明其AI能力具有显著代差，否则极易沦为又一个平庸的解决方案。

查看原始信息 ▼

Webira - AI Website Creator

🚀 Still struggling to build a quality website? It's time to get rid of the frustration and get results in minutes. Webira is your AI-powered website creator that designs & creates complete, professional sites for you in minutes. No more frustration. Webira does everything for you ⚡ Create a perfect website plan and copy ⚡Make amazing design, graphics & responsive webpages. Works for any business, any niche. Go from idea to done!

👋 Hello Product Hunt! I’m Cyril, the founder at Teknikforce. For over a decade, I have watched entrepreneurs, creators, especially small businesses struggle with building websites. Getting a website done has been extremely time consuming and frustrating, not to mention expensive. Small business owners hate the struggle and the fight with agencies and designers. I knew there had to be a simpler, faster, more intuitive way to build beautiful websites without the frustration. So we built Webira AI to solve exactly that. Webira is your AI-powered website builder designed to help anyone; founders, business owners, local businesses, online businesses—build stunning, high-converting websites in minutes. You do not need complicated tech skills. No design skills. No overwhelm. Just fast, modern, clean websites within a twinkle of the eye. With Webira, you can: ✅ Instantly generate beautiful websites powered by AI ✅ Customize everything with an easy drag-and-drop editor ✅ Choose from different high-converting templates ✅ Build landing pages, sales pages, portfolios, microsites & more ✅ Launch your site in minutes — not days Goodbye complexity. Hello to effortless website creation. 🛠️ Built With ❤️ by Teknikforce 🤝 The Team Massive shoutout to my amazing team who poured countless hours into making Webira launch smooth, fast, and genuinely fun to use. We’d love your feedback, questions, and support! Try Webira here: https://getwebira.in/ Explore more of our work: https://teknikforce.com/ Plz. drop your comments below 👇 Let’s make building a beautiful website… effortless. Thank you for your support. Cheers! Cyril Gupta Sales Video https://youtu.be/wKrEYb04FNM?si=... Demo Video https://www.youtube.com/watch?v=ZUhLZvv0DLQ

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@cyriljeet Congrats on the launch!

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Wishing you good luck today guys :)

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Congrats on the launch!

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一句话介绍：SummonAI Kit 是一款CLI工具，通过单条命令自动分析代码库并生成完整的Claude Code开发环境配置，解决了开发者需反复向AI助手人工解释项目技术栈和上下文的效率痛点。

Productivity Developer Tools Artificial Intelligence

AI编程助手开发者工具 CLI工具代码库分析自动化配置 Claude生态开发提效上下文管理

用户评论摘要：目前有效评论较少，主要为产品发布宣言。评论强调了产品核心价值——终结向Claude反复解释代码库的循环，让AI助手能立即深度理解项目技术栈。暂无用户直接反馈问题或建议。

AI 锐评

SummonAI Kit 瞄准了一个在AI编程助手普及后日益凸显的“最后一公里”问题：如何将通用的AI编码能力高效、精准地适配到具体、复杂的私有代码库中。其价值不在于技术创新，而在于流程封装和体验优化。

产品直击当前开发者使用Claude Code的核心摩擦点：每次对话都是一次“从零开始”的上下文重建过程。这不仅消耗时间，更关键的是，碎片化、不完整的上下文输入会直接导致AI输出质量的不稳定和“失忆”。SummonAI Kit 试图将这种非结构化的、依赖人工提炼的“知识灌输”过程，转化为自动化的、结构化的环境配置。它生成的 `.claude/` 目录、技能和代理，本质上是为AI构建了一个针对当前项目的、持久化的“认知框架”。

其真正的犀利之处在于对开发者心理的把握——“首试准确性”。它售卖的不是功能，而是“确定性”，减少因AI误解项目结构而产生的调试成本和挫败感。然而，其天花板也显而易见：自动化分析生成的配置文件，其深度和质量能否媲美经验丰富的架构师手动编写的配置？对于高度定制化、遗留系统或文档极差的项目，其分析准确性面临挑战。此外，它将开发者与Claude生态进行更深度的绑定，存在一定的平台依赖风险。

总体而言，这是一个解决真问题的“胶水型”工具，市场切入点精准。其长期成功不取决于技术壁垒，而取决于对复杂项目结构的解析精度、对多样技术栈的覆盖广度，以及能否形成围绕 `.claude/` 配置的共享生态。如果它能成为项目“AI就绪”状态的标准创建者，其价值将远超一个简单的自动化脚本。

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SummonAI Kit

SummonAI Kit is a CLI tool that transforms any codebase into a fully-configured Claude Code environment. Instead of manually writing CLAUDE.md files, configuring skills, and setting up agents — run one command. SummonAI Kit analyzes your repo, detects your frameworks, and generates everything Claude needs to understand your stack from day one. Works with any language, any framework. Built for developers who want first-try accuracy without the setup overhead.

🚀 Launching today — your support means everything! SummonAI Kit — Stop Re-Explaining Your Codebase to Claude One command to rule them all. Auto-generate your entire .claude/ setup. Every Claude Code session, developers perform the same ritual: re-explaining their stack, their patterns, their conventions. Context lost. Sanity drained. SummonAI Kit ends the cycle. One command scans your codebase and summons: 📜 CLAUDE.md — your project's sacred text 🔮 Skills — deep knowledge of your specific stack (React, APIs, database patterns) ⚔️ Agents — specialized companions (debugger, reviewer, frontend sorcerer) Claude transforms from "helpful tavern stranger" to "wizard who already knows the map."

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一句话介绍：一款面向团队、班级和小组的轻量化考勤管理工具，通过数字化记录、清晰报表与灵活导出，解决了中小型组织在人工记录、数据汇总及薪资核算环节的效率痛点。

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Productivity Analytics SaaS

考勤管理 SaaS工具效率软件中小企业教育培训灵活薪资计算数据导出团队协作轻量化部署人力资源

用户评论摘要：有效评论主要来自产品创造者Daksh的自我介绍和产品阐述。评论中阐述了开发动机（解决电子表格和纸质记录的痛点），并说明了核心功能（考勤跟踪、数据导出、薪资计算）和商业模式（免费增值）。目前暂无外部用户提出的具体问题或功能建议。

AI 锐评

Simple Attende瞄准的是一个古老而普遍的需求——考勤管理，并将其产品化、轻量化。其真正价值并非技术突破，而在于精准的“场景降维打击”：它没有选择功能庞杂的HRM系统战场，而是切入健身房、小班课、临时团队等标准化低、灵活性要求高的“边缘考勤”场景。这些场景的共性是被主流SaaS忽略、用Excel管理过度笨重、用纸笔管理又效率低下。

产品将“记录-分析-核算”链条打通，尤其是内置的薪资计算功能，直指小微场景下最痛的“算钱”环节，完成了从记录工具到管理工具的闭环。这看似一小步，却是其从“另一个考勤App”变为“解决具体财务问题工具”的关键。免费提供1组10人的策略，也显著降低了尝鲜门槛，符合目标用户谨慎的采购心理。

然而，其面临的挑战同样清晰。首先，功能壁垒不高，易被模仿。其次，评论区的“独角戏”状态揭示了其冷启动阶段的真实困境——尚未形成真实的用户反馈循环。更深层的考验在于，当用户群体扩大，需求必然分化：学校要排课、健身房要预约、临时团队要项目关联，产品是坚持“Simple”的核心，还是被迫堆叠功能走向复杂？这将是其增长路径上的战略抉择。目前来看，它是一个解决特定痛点的锋利工具，但要想从“有用”走向“不可或缺”，仍需在用户洞察和场景深耕上证明更多。

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Simple Attende

Simple Attende lets you track attendance for teams, classes, and groups with clear reports and flexible exports. Create groups, add members, record attendance, and review detailed analytics to understand participation and performance. You can export data to Excel and calculate salaries based on working hours and pay rates. Start free with one group and up to 10 members, then upgrade to manage more groups and members across small businesses, schools, gyms, healthcare, and events.

Hey Product Hunt Family 👋 I’m Daksh, the maker of Simple Attende. I built Simple Attende because I saw how frustrating it can be to track attendance—whether it was for a small fitness class, volunteer groups, or part-time teams. Spreadsheets were clunky, paper sheets got lost, and calculating hours for payments felt like doing math homework every week. I wanted something that just worked: simple to start with, but powerful enough to handle real needs like exporting data or figuring out payroll. Simple Attende lets you track attendance effortlessly for your groups and members. You can export to Excel and even calculate salaries based on hours and pay rates—so you spend less time managing and more time doing what matters. It’s free to start with one group and up to 10 members. When you’re ready, you can upgrade to manage more groups and members across small businesses, schools, gyms, healthcare, and events. I’d love to hear your thoughts—especially if you’ve ever struggled with tracking attendance or manual payroll calculations. Happy to answer any questions you have!

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一句话介绍：一款集邮箱查找与实时验证于一体的工具，旨在为进行大规模外拓营销的团队和机构解决传统工具价格高昂、准确性不足、需多平台切换的核心痛点。

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Email Email Marketing SaaS

邮箱查找邮箱验证销售外拓潜在客户开发营销自动化成本控制送达率保护 B2B工具 SaaS

用户评论摘要：有效评论主要为产品创建者的自我介绍和愿景阐述。其核心反馈是痛斥现有邮箱查找验证工具昂贵、低效且准确性存疑，并解释了创建此产品是为解决自身在拓展业务中遇到的相同问题。目前暂无外部用户提出具体问题或建议。

AI 锐评

MailsFinder 切入了一个拥挤但痛点明确的市场：B2B销售线索开发中的邮箱信息获取与验证。其宣称的价值主张——“Stop overpaying”——直指行业痼疾：按量计费的信用制模式对高频用户极不友好，且准确性与成本往往不成正比。产品试图通过“端到端控制准确性”和“让每日外拓者无需犹豫”的定价策略来构建竞争力，这反映了其对核心用户（高频、大规模外拓团队）需求的精准捕捉。

然而，其真正的挑战与潜在价值远不止于功能与定价。首先，在技术层面，承诺“约99%的准确率”是所有竞品的标准话术，其真实表现需经受复杂企业邮箱架构和反爬措施的考验，这取决于其数据源和验证算法的深度，目前信息无法判断其技术护城河。其次，其最具差异化的卖点——提供“专属外拓社区”及创始人亲自辅导前两次战役——试图将工具提升至“服务与解决方案”层面。这种“社区+辅导”的模式，本质是将获客成本部分转化为用户成功投入，旨在提升用户粘性和生命周期价值，而不仅仅是售卖一次性消耗品。这是一种聪明的战略，试图在红海市场中建立基于关系和成功的壁垒。

但风险同样明显。作为新晋产品，其数据覆盖广度、API稳定性及大规模处理的可靠性尚未经过市场充分验证。创始人声称的“亲身痛苦”虽能引起共鸣，但工具的专业性需要更客观的证明。此外，将社区运营与辅导作为核心卖点，可能使其业务模型变重， scalability（可扩展性）面临考验。若核心的查找与验证功能无法在性价比和准确性上显著超越Hunter、Snov等成熟玩家，附加服务带来的增长动力将十分有限。

综上，MailsFinder 的价值不在于提出了新功能，而在于其对高频外拓用户成本与体验焦虑的深刻理解，并尝试通过“更友好的定价”和“增值服务”组合破局。其成败关键在于：基础功能的硬指标（准确率、速度、覆盖率）是否真能支撑其承诺，以及其社区生态能否形成有效的增长飞轮。否则，它很可能只是另一个在价格战边缘徘徊的“又一个工具”。

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Mailsfinder - Find & Verify Emails

We built MailsFinder after struggling with overpriced, inaccurate tools ourselves. Find emails, verify them instantly, and protect your sender reputation — without juggling multiple tools or burning cash.

👋 Hey Makers — I’m Harsh, maker of MailsFinder I’ve been deep in the outbound world for the last 2+ years — building lists, running cold email campaigns, helping agencies and teams book meetings. And honestly? Email finding & verification was the most painful, expensive part of the entire process. I burned an insane amount of money on tools like Hunter, Snov, and others — just to: Find a few hundred emails Verify another few hundred And repeat this every single time I had a new list If you’re running outbound at any real scale, you know the pain: 500–1,000 emails in → credits gone → wallet lighter → accuracy still questionable. That frustration is exactly why MailsFinder exists. 🚧 Why I built MailsFinder I wanted a tool where: I could control accuracy end-to-end I wouldn’t hesitate before uploading a long list Pricing wouldn’t punish people actually doing outbound daily So we built MailsFinder from scratch — not to be flashy, but to be reliable, affordable, and honest. This tool came directly from my own struggle of wasting money and time while trying to grow through outbound. 🚀 Why MailsFinder helps outbound teams & agencies MailsFinder isn’t just “another tool.” Here’s what you get: → Affordable email finding & verification — no fear of burning cash on big lists → ~99% accuracy, so your deliverability stays healthy Built for real outbound — founders, agencies, recruiters, sales teams And something most tools don’t do 👇 → We also give you access to an exclusive outbound community: → If you’re starting out → we help you get your first client in 90 days If you’re already running campaigns → we help you scale smartly My co-founder and I personally support your first two outbound campaigns This is about helping people win with outbound, not just selling credits. We’re just getting started — a lot more features are coming to strengthen the entire outbound workflow. Would love your feedback, questions, and thoughts 🙌 Happy to answer anything below.

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Great launch @harsh719

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